RETProto-Oncogene Mutations in Multiple Endocrine Neoplasia Type 2 and Medullary Thyroid Carcinoma
Bibliographic record
Abstract
Multiple endocrine neoplasia type 2 (MEN-2) is a familial cancer syndrome inherited in an autosomal dominant fashion with age-related penetrance. The main tumour type present in all manifestations of this syndrome. MEN-2A, MEN-2B and familial medullary thyroid carcinoma (FMTC), is medullary thyroid carcinoma (MTC). MTC arises from the parafollicular or C cells of the thyroid. MEN-2A is characterised by the triad of MTC, phaeochromocytoma, and parathyroid hyperplasia. MEN-2B is characterised by features similar to those of MEN-2A, except for the absence of clinically apparent parathyroid hyperplasia, and additional stigmata including a marfanoid habitus, mucosal neuromas and ganglioneuromatosis of the gastrointestinal tract. FMTC families have MTC as their only phenotype. Missense mutations affecting conserved cysteine codons adjacent to the transmembrane domain of the RET proto-oncogene have been identified in the germline DNA of patients with MEN-2A and FMTC. A single mutation at codon 918 in the tyrosine kinase domain of the RET receptor has been associated with the MEN-2B phenotype. In a small number of FMTC families, missense point mutations have also been identified in the intracellular domain of the RET protein. RET mutation analysis of MEN-2 families has allowed the identification of genotype-phenotype correlations. While 25% of all MTCs are hereditary, the great majority of MTCs, 75%, are sporadic. Various somatic RET mutations have been identified in sporadic MTCs. In a small number of hereditary MTCs with germline mutations in RET, an additional somatic missense RET mutation has been identified. The discovery of RET mutations in MEN-2 has made possible accurate DNA-based diagnosis and predictive testing. The clinical significance of somatic RET mutations has yet to be determined.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".